I've noticed something interesting recently.

In the past, when someone's proposal got challenged in a meeting, they'd pull out the Google shield: "I found this on Google." Now? It's become a confident: "This is what Doubao (or Gemini) told me—got a problem with that?"

I don't know how you'd react to hearing that. As someone on the AI frontlines, spending every day for the past two years building Dessix, a thinking workspace, I was honestly stunned.

Not because they were using AI, but because even people this close to AI still lack awareness of its limitations. They treat AI's "matter-of-fact" answers as absolute truth. Explaining doesn't help—the cognitive gap is too wide. The most profound realization comes from believing a conclusion and then seeing it overturned. And the cost of that lesson isn't high.

So here's my hot take.

After two years of intense daily interaction with AI while building Dessix, I can say this responsibly: **AI has no wisdom.**

To me, AI is just a glorified search engine. You think you're controlling AI, but it might be emotionally manipulating you—flattering you, keeping you in a bubble of self-satisfaction.

When you ask it to summarize a book, the result is often what it "thinks you want to see," not what the book objectively says. I've verified this many times. It's not even AI's fault—if you send the same information to two different colleagues, you'd be surprised how differently they interpret it. Ultimately, it comes down to misaligned default values.

**Certainty in front of AI is often a trap.**

It's like when we were designing Dessix's "Roundtable" feature—we spent over two weeks validating and testing, only to realize it was completely useless. AI had been stroking our ego the whole time (and it felt great, ha!).

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## Building Context Is Assembling a Key

Since AI has no wisdom and is merely a pattern-matching machine that reads the room, this leads to a brutal truth: **if you don't give it unique input, it can only spit out average-human-level platitudes.**

Following this logic, I recently had a realization: **what exactly is "privacy" in the AI era?**

In the past, privacy meant chat logs, browsing history, personal data. That was "defensive" privacy—keeping others from seeing your stuff.

But today, when you face that input box in ChatGPT or Claude, the threat isn't "data leakage"—it's **"being averaged out."**

Here's an example. Say you want to build a no-code AI product using "low-cost container virtualization technology." If you actually understand this technology—where the pitfalls are, what the advantages are—that's your killer edge. When you bring that understanding to AI, it can help you write code at lightning speed. But if you're a product manager who can't even articulate "container virtualization," AI becomes nothing more than a fancy search engine.

See it? **Your unique cognitive background, domain context, and way of asking questions—that's your real "privacy" in the AI era.**

It's an "offensive" asset. Even if someone steals your AI account, without the business context in your head, they can't reproduce your results.

This is why I often say I can add new features to Dessix through Vibe-Coding without writing a single line of code, while others struggle to do the same. Before I even start, I've already mentally rehearsed AI's action trajectory. The context I've built—project specs, directory structure, skill packs, development history, architectural logic, and product philosophy—is the "private key" that unlocks AI's capabilities for me.

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## Encapsulate Your Context

Looking back, why did sharing prompts become such a trend? Why is everyone building Skills?

At their core, these are all about **encapsulating personal privacy (professional context)**. This is also the fundamental thinking behind why we designed Actions and Scenes in Dessix.

Here's a case I frequently demonstrate: I create a new Scene, drag in my company background, product philosophy, even my personality's iceberg model. This Scene becomes my "digital privacy space." With it, I can have AI write business plans, job descriptions, and customer service emails according to my values—instead of generating generic boilerplate.

**AI is an amplifier, but only if you have something for it to amplify.**

Often, when AI gives you answers beyond your cognitive boundary, you either think it's hallucinating or you blindly trust it. Both happen because there's a missing stepping stone between you and AI—called "your context."

In the past, privacy was the secrets we hid away. In the AI era, privacy is the cognitive moat that proves "I am me" in a world being flattened by machines.

**Protect your context. Interact with AI like Socrates—through relentless questioning. Only then are you steering AI, rather than being assimilated by it.